Abdessattar Chaari

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In this paper, a backstepping controller of Induction Motor (IM) is proposed using the fifth order model in fixed two frame reference axis with rotor flux and stator currents as state variables. The approach of backstepping requires, generally, that the nonlinear system is in strict feedback loop. To implement this strategy over the IM, some transformations(More)
This paper deals with modelling and parameter identification of nonlinear systems described by Hammerstein model having asymmetric static nonlinearities known as preload nonlinearity characteristic. The simultaneous use of both an easy decomposition technique and the generalized orthonormal bases leads to a particular form of Hammerstein model containing a(More)
An adaptive sliding mode controller is presented for a class of Single Input Single Output (SISO) nonlinear systems with external disturbance. The designed controller, resulting from the combination of the Classical Sliding Mode Control technique (CSMC), the Proportional Integral controller (PI) and the Proportional Derivative controller (PD), can reduce(More)
In this paper, a simulation model of a solar cell is defined to allow estimation of the electrical behavior of the cell with respect changes on environmental parameter of temperature and irradiance. Maximum Power Point Trackers (MPPT) play an important role in photovoltaic (PV) power systems because they maximize the power output from a PV system for a(More)
A new identification method is proposed for Hammerstein systems in presence of dead zone input nonlinearities. To describe and identify the nonlinear system, a new decomposition technique using the triangular basis functions is employed. Then a parameterized model is derived to represent the entire system. The approximation by Triangular basis functions for(More)
This paper deals with the weighted minimum-variance self-tuning regulation of stochastic time-varying systems, which can be described by linear input-output mathematical models. We consider the input-output ARMAX mathematical models with unknown time-varying parameters. The recursive extended least squares RELS algorithm, which can be applied to the(More)
In this paper, we propose a global exponential adaptive observer for a class of uniformly observable nonlinear systems. This observer, based on techniques of high gain, is applied to jointly estimate missing states (rotor flux components) and unknown constant parameters incorporating in their expressions different electric parameters of an asynchronous(More)